Late-onset, Progressive Sensorineural Hearing Loss after Severe Neonatal Respiratory Failure
Bibliographic record
Abstract
OBJECTIVES: To determine the prevalence of sensorineural hearing loss (SNHL) at the age of 4 years among survivors of severe neonatal respiratory failure with and without congenital diaphragmatic hernia and to document the occurrence of late-onset or progressive SNHL among the survivors. DESIGN: Prospective, longitudinal secondary outcome study. SETTING: Multicenter Canadian study in 9 tertiary referral centers. PATIENTS: Eighty-one (89%) of ninety 4-year-old survivors born from 1994 to 1996 of > or =34 weeks gestation at birth with severe neonatal respiratory failure (2 oxygenation indices > or =25 at least 15 minutes apart). MAIN OUTCOME MEASURES: Repeated audiologic measurements from birth to the age of 4 years with documentation of the entire cohort at 2 and 4 years of age. RESULTS: Forty-three (53%) of 81 tested 4-year-old survivors had SNHL; 28 (42%) of 66 without congenital diaphragmatic hernia and 15 (100%) of 15 with congenital diaphragmatic hernia. High-frequency SNHL occurred in 65% of the patients. Of the 43 children with SNHL at 4 years, 30 (70%) had loss at 2 years, and 18 (60%) of these 30 had progressive loss between 2 and 4 years of age. For 13 children with SNHL onset after 2 years of age, the loss was less severe with lesser involvement of the lower frequencies. CONCLUSION: Survivors of severe neonatal respiratory failure frequently develop late-onset SNHL that may be progressive. Urgent investigation is required to enable further understanding and prevention of this problem. Severe neonatal respiratory failure should be an indication for long-term audiologic surveillance.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".